Engineering risk assessment with subset simulation /
This book starts with the basic ideas in uncertainty propagation using Monte Carlo methods and the generation of random variables and stochastic processes for some common distributions encountered in engineering applications. It then introduces a class of powerful simulation techniques called Markov...
Κύριος συγγραφέας: | |
---|---|
Άλλοι συγγραφείς: | |
Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Wiley,
2014.
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | This book starts with the basic ideas in uncertainty propagation using Monte Carlo methods and the generation of random variables and stochastic processes for some common distributions encountered in engineering applications. It then introduces a class of powerful simulation techniques called Markov Chain Monte Carlo method (MCMC), an important machinery behind Subset Simulation that allows one to generate samples for investigating rare scenarios in a probabilistically consistent manner. The theory of Subset Simulation is then presented, addressing related practical issues encountered in th. |
---|---|
Φυσική περιγραφή: | 1 online resource (337 pages) |
Βιβλιογραφία: | Includes bibliographical references and index. |
ISBN: | 9781118398050 111839805X 1306550645 9781306550642 |
DOI: | 10.1002/9781118398050 |